Image Processing
One of the most consequential creations in the human evolution phase is handwriting. Due to writing, today we are conveying our reflections, making business pacts, rendering an understandable world and making hitherto tasks austerer. Determining gender using offline handwriting is an applied research problem in forensics, psychology, and security applications, and with technological evolution, the need is growing. The general problem of gender detection from handwriting poses many difficulties resulting from interpersonal and intrapersonal differences.
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948 Views
In order to evaluate the positioning performance of this algorithm in the transformer, The robot was demonstrated in the Mitsubishi transformer of Shuibei Power Supply Station in Shenzhen. The image frame sequence was obtained during the experiment.
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123 Views
MODI script is one of the oldest written formsofmedia.Mostoftheearlywrittenknowledgeonsubjectslikemedicine, Buddhist ideology, food habits and horoscope has been written using MODI script. MODI Script was in use during Yadavas to Chhatrapati Shivaji Maharaj Era for writing administrative and government documents. Further, during Peshawas era, MODI Script was extensively used. Even during British rule, MODI Script uses are found. It started to diminish the use of MODI Script from 1960 onwards.
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755 Views
This dataset provides the high-resolution remote senisng data regarding various coastline scenes.
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265 Views
Recently, a limited number of datasets that exist are used to detect errors in the printing process of the 3D printer. Limited datasets lead most researchers to dive into sensor data fault classification.
The dataset is captured and labelled before being fed to the DL model. The image dataset is captured in a time-lapse video mode with a 15-second duration for each printing process. Next, the time-lapse is used to extract around 50 images per video. In total, 2297 images containing four classes are collected.
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1561 Views
Retinal Fundus Multi-disease Image Dataset (RFMiD 2.0) is an auxiliary dataset to our previously published dataset. RFMiD 2.0 is a more challenging dataset to research society to develop the computer-based disease diagnosis system. Diabetic Retinopathy, cataracts, and refractive error in the eye are leading disease which causes permanent vision loss more frequently. Therefore, developing an AI-based model to classify these diseases is useful for ophthalmologists. This dataset consists of 860 images of frequently and rarely observed 51 diseases.
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2578 Views
In practical media distribution systems, visual content usually undergoes multiple stages of quality degradation along the delivery chain, but the pristine source content is rarely available at most quality monitoring points along the chain to serve as a reference for quality assessment. As a result, full-reference (FR) and reduced-reference (RR) image quality assessment (IQA) methods are generally infeasible. Although no-reference (NR) methods are readily applicable, their performance is often not reliable.
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210 Views
In practical media distribution systems, visual content usually undergoes multiple stages of quality degradation along the delivery chain, but the pristine source content is rarely available at most quality monitoring points along the chain to serve as a reference for quality assessment. As a result, full-reference (FR) and reduced-reference (RR) image quality assessment (IQA) methods are generally infeasible. Although no-reference (NR) methods are readily applicable, their performance is often not reliable.
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241 Views
A large scale underwater image enhancement benchmark collected from UVE-38K, EUVP and UIEB.
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92 Views
40 real-world underwater images from the Internet which is tough to enhance.
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358 Views